Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry

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dc.contributor.authorCui, Xinyue
dc.contributor.authorWebb, D. Patrick
dc.contributor.authorRahimifard, Shahin
dc.date.accessioned2023-07-12T10:38:26Z
dc.date.available2023-07-12T10:38:26Z
dc.date.issued2023-06-20
dc.description.abstractThis paper reports the development of a real-time inline Chemical Oxygen Demand (COD) detection technique in a beverage manufacturing plant in England and the evaluation of its capability for dynamic Water Footprint (WF) management. The inline technique employed Ultraviolet–Visible (UV-VIS) spectroscopy and Moving Window Partial Least Squares (mwPLS), which was then applied to calculating Grey WF for the production activities in the plant, referred to here as WFrt. A traditional offline COD measurement method was also utilised for the Grey WF calculation, to act as the reference method, referred to here as WFtrad. In a method-comparison study (Bland-Altman Plot), the results showed that WFrt detected the order of magnitude variation of WFtrad, and WFtrad was on average between 0.897 and 1.243 times WFrt with no systematic bias. This indicates that WFrt may be used for both short-time frame (minutes to hours) WF monitoring and long-term (weeks to months) analysis of trends and the effect of WF optimisation strategies.en_UK
dc.identifier.citationCui X, Webb DP, Rahimifard S. (2023) Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry, Water Resources and Industry, Volume 30, December 2023, Article Number 100215en_UK
dc.identifier.issn2212-3717
dc.identifier.urihttps://doi.org/10.1016/j.wri.2023.100215
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19962
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDynamic water footprint (WF)en_UK
dc.subjectMoving window partial least squares (mwPLS)en_UK
dc.subjectUV-VISen_UK
dc.subjectBland-altman ploten_UK
dc.subjectFood and drink manufacturingen_UK
dc.subjectWastewateren_UK
dc.titleCapability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industryen_UK
dc.typeArticleen_UK

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